Question

In: Statistics and Probability

To gauge the reactions of possible​ customers, the manufacturer of a new type of cellular telephone...

To gauge the reactions of possible​ customers, the manufacturer of a new type of cellular telephone displayed the product at a kiosk in a busy shopping mall. The table to the right summarizes the results for the customers who stopped to look at the phone. Complete parts​ (a) through​ (c) below.

Male

Female

  Favorable

32

23

  Ambivalent

43

6

  Unfavorable

30

7

​A.  Is the reaction to the new phone associated with the sex of the​ customer? How strong is the​ association?

Since V = ? (What does V equal?) fill in blank, there is blank association between the two variables?

​(Round to two decimal places as​ needed.)

​B. How should the company use the information from this study when marketing its new​ product? answer choices below A-D

A.

Assuming that the reactions of the women sampled are representative of all​ women, the company should market toward women first since they had few unfavorable reactions.

B.

The company should market toward men first because more men participated in the survey.

C.

The company should market toward men first since they had a higher percentage of favorable reactions.

D.

Assuming that the reactions of the women sampled are representative of all​ women, the company should market toward women first since they had a higher percentage of favorable reactions.

​C. Can you think of an underlying lurking variable that might complicate the relationship shown​ here? Justify your answer.? Answer choices below A-D

A.

There are no lurking variables because the sex of the customer is the only variable that is associated with the reactions to the new phone.

B.

Variables such as the average age of the participants or the median income of the town where the mall is located are possible lurking variable because​ people's opinions may be related to the age or wealth.

C.

Variables such as the proportion that carry a​ phone, the time of​ day, or the day of the week are possible lurking variables because these may be associated with the sex of the customer and also with the reactions to the new phone.

D.

The mall where the data was gathered is the only significant lurking variable because it may have different types of customers than other malls.

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